McInroe, Trevor

9 publications

ICLR 2026 Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning Weipu Zhang, Adam Jelley, Trevor McInroe, Amos Storkey, Gang Wang

NeurIPS 2025 Enhancing Tactile-Based Reinforcement Learning for Robotic Control Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar

ICLR 2025 Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V Albrecht

ICMLW 2024 Efficient Offline Reinforcement Learning: The Critic Is Critical Adam Jelley, Trevor McInroe, Sam Devlin, Amos Storkey

TMLR 2024 Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor McInroe, Lukas Schäfer, Stefano V Albrecht

NeurIPS 2023 Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion, Trevor McInroe, Kevin Luck, Josiah Hanna, Stefano Albrecht

ICLR 2023 Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V Albrecht

NeurIPSW 2022 Learning Representations for Reinforcement Learning with Hierarchical Forward Models Trevor McInroe, Lukas Schäfer, Stefano V Albrecht

NeurIPSW 2022 Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V Albrecht